- Original paper: https://arxiv.org/abs/1708.05144
- Baselines blog post: https://blog.openai.com/baselines-acktr-a2c/
python -m baselines.run --alg=acktr --env=PongNoFrameskip-v4runs the algorithm for 40M frames = 10M timesteps on an Atari Pong. See help (-h) for more options.- also refer to the repo-wide README.md
The code of ACKTR has been refactored to handle both discrete and continuous action spaces uniformly. In the original version, discrete and continuous action spaces were handled by different code (actkr_disc.py and acktr_cont.py) with little overlap. If interested in the original version of the acktr for continuous action spaces, use old_acktr_cont branch. Note that original code performs better on the mujoco tasks than the refactored version; we are still investigating why.